Jekyll MCP Server
Indexes and searches Jekyll blog content, enabling AI assistants to search posts by keyword/category/tags, retrieve full post content, compare drafts against published posts, and analyze blog categories and tags.
README
Jekyll MCP Server
A Model Context Protocol (MCP) server that indexes and searches Jekyll blog content, enabling AI assistants like Claude to interact with your blog posts.
Features
- Index Jekyll blog posts and drafts with front matter parsing
- Search posts by keyword, category, or tags
- Retrieve full post content by slug
- Compare draft content against published posts to detect duplicates
- List all categories and tags with post counts
- Support for both Markdown (.md) and AsciiDoc (.adoc) formats
- Fast keyword-based search
Installation
Using uv (recommended)
uv pip install jekyll-mcp-server
Using pip
pip install jekyll-mcp-server
From source
git clone https://github.com/jottinger/jekyll-mcp-server.git
cd jekyll-mcp-server
uv pip install -e .
Configuration
The server needs to know where your Jekyll blog content is located. There are two ways to configure this:
Option 1: Environment Variables
Set these environment variables before running the server:
export JEKYLL_POSTS_DIR="/path/to/your/blog/_posts"
export JEKYLL_DRAFTS_DIR="/path/to/your/blog/_drafts" # Optional
Option 2: Run from Jekyll Project Directory
If you run the server from your Jekyll project root (where _posts and _drafts directories exist), it will automatically detect them.
Usage
With Claude Code
Add to your Claude Code MCP configuration:
{
"mcpServers": {
"jekyll-blog": {
"command": "jekyll-mcp-server",
"env": {
"JEKYLL_POSTS_DIR": "/path/to/your/blog/_posts",
"JEKYLL_DRAFTS_DIR": "/path/to/your/blog/_drafts"
}
}
}
}
Then restart Claude Code. The server will start automatically when needed.
Manual Launch
Create a launch script (see examples/launch-server.sh):
#!/bin/bash
export JEKYLL_POSTS_DIR="/path/to/your/blog/_posts"
export JEKYLL_DRAFTS_DIR="/path/to/your/blog/_drafts"
jekyll-mcp-server
Make it executable and run:
chmod +x launch-server.sh
./launch-server.sh
Available MCP Tools
Once connected, the server provides these tools to AI assistants:
search_posts
Search for blog posts by keyword, category, or tags.
Parameters:
query(string, optional): Search term to find in title, content, or slugcategory(string, optional): Filter by categorytags(string, optional): Comma-separated list of tagslimit(number, optional): Maximum results (default: 10)
Example:
Search for posts about "AI writing" in the "blog" category
get_post
Retrieve full content of a specific post by slug.
Parameters:
slug(string, required): The post slug
Example:
Get the post with slug "working-with-the-machine"
list_categories
List all blog categories with post counts.
Example:
Show me all categories
list_tags
List all blog tags with post counts.
Example:
What tags do I use?
compare_draft
Compare draft content against published posts to find similar content (helps avoid duplicate posts).
Parameters:
draft_content(string, required): The draft text to comparelimit(number, optional): Maximum similar posts to return (default: 5)
Example:
Compare this draft against my published posts:
[paste draft content]
Example Workflow
Here's how you might use this with Claude Code:
-
Before writing a new post:
Search my posts for "AI writing process" -
Check if you've covered a topic:
Have I written about MCP servers before? -
Prevent duplicate content:
Compare this draft against my published posts: [paste draft] -
Retrieve existing content:
Get the full content of my post "working-with-the-machine" -
Analyze your blog:
What categories do I write about most?
Reindexing Content
The server indexes content on startup. After publishing new posts or making significant changes:
- Stop the server (if running standalone)
- Restart it to refresh the index
With Claude Code, the server restarts automatically when needed.
Development
Setup
git clone https://github.com/jottinger/jekyll-mcp-server.git
cd jekyll-mcp-server
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv pip install -e ".[dev]"
Running Tests
pytest
Project Structure
jekyll-mcp-server/
├── jekyll_mcp/
│ ├── __init__.py
│ ├── server.py # MCP server implementation
│ ├── indexer.py # Post indexing logic
│ ├── parser.py # Front matter parsing
│ └── tools.py # MCP tool implementations
├── examples/
│ ├── claude-code-config.json
│ └── launch-server.sh
├── tests/
├── LICENSE
├── README.md
└── pyproject.toml
Requirements
- Python 3.10 or higher
- Jekyll blog with standard
_postsdirectory structure - Posts with YAML front matter
License
MIT License - see LICENSE file for details.
Contributing
Contributions welcome! Please feel free to submit a Pull Request.
Acknowledgments
Built using the Model Context Protocol by Anthropic.
Created with assistance from Claude Code.
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